李权熹 (Quanxi Li)

Email: liquanxi20z@ict.ac.cn

About Me

I am a PhD Candidate at the Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) co-advised by Dr. Xiaobing Feng (冯晓兵) and Dr. Chenxi Wang (王晨曦). I got my Bachelor degree from University of Science and Technology of China (USTC) in 2020.

Research Interests

My research focuses on the development of hard-core systems tailored for emerging hardware platforms, such as resource-disaggregated datacenter. I am particularly interested in enhancing the performance of applications on these systems through the design and implementation of advanced programming models and compiler optimizations.

Runtime for Disaggregated Memory

As an emerging datacenter architecture, resource-disaggregation aims to reorganize datacenter hardware of each kind into their dedicated resource servers to improve resource utilization and fault tolerance and simplify hardware adoption. These servers are connected by advanced network fabrics a such as Infiniband and Intel Fabrics. As a result, the cloud application running on the resource-disaggregated cluster can get compute and memory resources from different servers.
I build a memory-disaggregated framework, Beehive, which improves the remote access throughput by exploiting the asynchrony within each thread. Beehive is capable of automatically converting applications into asynchronous execution code, which helps to reduce the microsecond-scale latency associated with remote memory access. This is achieved while maintaining low CPU overhead and enhancing data locality, leading to more efficient application performance.

Publications